# Sentient-X Docs

> Golden paths for building and operating robotics systems with Sentient-X

## Documentation

- [Work with agents](https://docs.sentientx.io/docs/agents): Give agents enough authority to help deeply without giving away accountability
- [Architecture in one page](https://docs.sentientx.io/docs/architecture): The four pillars, the handoffs, and the few identities that survive the whole loop
- [What is real now](https://docs.sentientx.io/docs/current-status): Find live surfaces and known journey gaps without trusting stale prose
- [Data engineer](https://docs.sentientx.io/docs/data-engineer): Turn immutable robot evidence into governed, reproducible training corpora
- [Deep learning scientist](https://docs.sentientx.io/docs/deep-learning-scientist): Run fast experiments without detaching models from governed data and promotion evidence
- [The golden path](https://docs.sentientx.io/docs/golden-path): One task, one lineage, and one evidence chain from experience to fleet
- [Build the loop](https://docs.sentientx.io/docs): Simple, agent-first golden paths for serious robotics work
- [Intern](https://docs.sentientx.io/docs/intern): Learn the system by shipping one small, well-proven vertical change
- [Robotics engineer](https://docs.sentientx.io/docs/robotics-engineer): Bring an exact embodiment and task to a supervised canary without losing safety or lineage
- [Start here](https://docs.sentientx.io/docs/start-here): Reach a useful, verified result without learning the whole platform first

## Links

- [GitHub](https://github.com/Sentient-X/sx)